Part 5/12:
API and Orchestration Layers: Creating middleware that intelligently directs tasks—such as code generation, testing, or documentation—based on the context and model specialization.
Application Layer: Embedding AI-driven features directly within development environments, CI/CD pipelines, and project management tools. For example, integrating AI into pull request workflows or test automation plugins enhances usability.
By designing such a framework, the organization ensures scalable, efficient access to AI’s capabilities without burdening individual teams with model management complexities.
Practical Use Cases: From Development to Deployment
The discourse delves into real-world applications across the entire SDLC: